Content-Based Photo Quality Assessment

• Published in: IEEE transactions on multimedia Vol. 15; no. 8; pp. 1930 - 1943
• Main Authors: Tang, Xiaoou, Luo, Wei, Wang, Xiaogang
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.12.2013; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Benchmark testing; Clarity contrast; composition geometry; Computer science; control theory; systems; content-based; dark channel; Data processing. List processing. Character string processing; Exact sciences and technology; Feature extraction; Geometry; hue composition; Information systems. Data bases; Memory organisation. Data processing; photo quality assessment; Quality assessment; scene composition; Software; Training; Visualization; Computer vision; Landscape; Internet protocol; hue composition; Very large databases; Online algorithm; Ground truth; scene composition; Adaptive method; Visual perception; content-based; dark channel; Classification; Quality control; Content-based retrieval; Clarity contrast; Aesthetics; photo quality assessment; Pattern extraction; composition geometry; Visual control

Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In this paper, we propose content-based photo quality assessment using both regional and global features. Under this framew...